{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "source": [
    "import tkinter as tk\r\n",
    "import random\r\n",
    "import threading\r\n",
    "import time\r\n",
    "def dow():\r\n",
    "    window = tk.Tk()\r\n",
    "    width=window.winfo_screenwidth()\r\n",
    "    height=window.winfo_screenheight()\r\n",
    "    a=random.randrange(0,width)\r\n",
    "    b=random.randrange(0,height)\r\n",
    "    window.title('中秋节快乐')\r\n",
    "    window.geometry(\"200x50\"+\"+\"+str(a)+\"+\"+str(b))\r\n",
    "    tk.Label(window,\r\n",
    "        text='中秋节快乐！',    # 标签的文字\r\n",
    "        bg='Red',     # 背景颜色\r\n",
    "        font=('楷体', 17),     # 字体和字体大小\r\n",
    "        width=15, height=2  # 标签长宽\r\n",
    "        ).pack()    # 固定窗口位置\r\n",
    "    window.mainloop()\r\n",
    " \r\n",
    "threads = []\r\n",
    "for i in range(10):#需要的弹框数量\r\n",
    "    t = threading.Thread(target=dow)\r\n",
    "    threads.append(t)\r\n",
    "    time.sleep(0.1)\r\n",
    "    threads[i].start()"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "source": [
    "import numpy as np\r\n",
    "\r\n",
    "from numpy import sin, cos, pi\r\n",
    "\r\n",
    "import matplotlib.pyplot as plt\r\n",
    "\r\n",
    "import matplotlib.patches as mpatch\r\n",
    "\r\n",
    "from matplotlib.patches import Arc, Circle, Wedge\r\n",
    "\r\n",
    "from matplotlib.collections import PatchCollection\r\n",
    "\r\n",
    "from pylab import *  \r\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei'] \r\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 用来正常显示负号\r\n",
    "length = 20\r\n",
    "\r\n",
    "R = 3**0.5*length/(3**0.5*cos(pi/12)-sin(pi/12))\r\n",
    "\r\n",
    "r = 2*sin(pi/12)*R/3**0.5\r\n",
    "\r\n",
    "arc1 = Arc([0, length], width=2*r, height=2*r, angle=0, theta1=30, theta2=150, ec='orange', linewidth=4)\r\n",
    "\r\n",
    "arc2 = Arc([-length/2, length/2*3**0.5], width=2*r, height=2*r, angle=0, theta1=60, theta2=180, ec='orange', linewidth=4)\r\n",
    "\r\n",
    "arc3 = Arc([-length/2*3**0.5, length/2], width=2*r, height=2*r, angle=0, theta1=90, theta2=210, ec='orange', linewidth=4)\r\n",
    "\r\n",
    "arc4 = Arc([-length, 0], width=2*r, height=2*r, angle=0, theta1=120, theta2=240, ec='orange', linewidth=4)\r\n",
    "\r\n",
    "arc5 = Arc([-length/2*3**0.5, -length/2], width=2*r, height=2*r, angle=0, theta1=150, theta2=270, ec='orange', linewidth=4)\r\n",
    "\r\n",
    "arc6 = Arc([-length/2, -length/2*3**0.5], width=2*r, height=2*r, angle=0, theta1=180, theta2=300, ec='orange', linewidth=4)\r\n",
    "\r\n",
    "arc7 = Arc([0, -length], width=2*r, height=2*r, angle=0, theta1=210, theta2=330, ec='orange', linewidth=4)\r\n",
    "\r\n",
    "arc8 = Arc([length/2, -length/2*3**0.5], width=2*r, height=2*r, angle=0, theta1=240, theta2=360, ec='orange', linewidth=4)\r\n",
    "\r\n",
    "arc9 = Arc([length/2*3**0.5, -length/2], width=2*r, height=2*r, angle=0, theta1=270, theta2=390, ec='orange', linewidth=4)\r\n",
    "\r\n",
    "arc10 = Arc([length, 0], width=2*r, height=2*r, angle=0, theta1=300, theta2=420, ec='orange', linewidth=4)\r\n",
    "\r\n",
    "arc11 = Arc([length/2*3**0.5, length/2], width=2*r, height=2*r, angle=0, theta1=330, theta2=450, ec='orange', linewidth=4)\r\n",
    "\r\n",
    "arc12 = Arc([length/2, length/2*3**0.5], width=2*r, height=2*r, angle=0, theta1=0, theta2=120, ec='orange', linewidth=4)\r\n",
    "\r\n",
    "circle = Circle((0,0), R, ec='orange', fc='white', linewidth=4)\r\n",
    "\r\n",
    "wedge1 = Wedge([-2, 2], R-5, 90, 180, ec='orange', fc=r'white', linewidth=4)\r\n",
    "\r\n",
    "wedge2 = Wedge([-5, 5], R-12, 90, 180, ec='orange', fc=r'white', linewidth=4)\r\n",
    "\r\n",
    "wedge3 = Wedge([-2, -2], R-5, 180, 270, ec='orange', fc=r'white', linewidth=4)\r\n",
    "\r\n",
    "wedge4 = Wedge([-5, -5], R-12, 180, 270, ec='orange', fc=r'white', linewidth=4)\r\n",
    "\r\n",
    "wedge5 = Wedge([2, -2], R-5, 270, 360, ec='orange', fc=r'white', linewidth=4)\r\n",
    "\r\n",
    "wedge6 = Wedge([5, -5], R-12, 270, 360, ec='orange', fc=r'white', linewidth=4)\r\n",
    "\r\n",
    "wedge7 = Wedge([2, 2], R-5, 0, 90, ec='orange', fc=r'white', linewidth=4)\r\n",
    "\r\n",
    "wedge8 = Wedge([5, 5], R-12, 0, 90, ec='orange', fc=r'white', linewidth=4)\r\n",
    "\r\n",
    "art_list = [arc1, arc2, arc3, arc4, arc5, arc6, arc7, arc8, arc9, arc10, arc11, arc12]\r\n",
    "\r\n",
    "art_list.extend([circle, wedge1, wedge2, wedge3, wedge4, wedge5, wedge6, wedge7, wedge8])\r\n",
    "\r\n",
    "fig, ax = plt.subplots(figsize=(8,8))\r\n",
    "\r\n",
    "ax.set_aspect('equal')\r\n",
    "\r\n",
    "for a in art_list:\r\n",
    "\r\n",
    "    ax.add_patch(a)\r\n",
    "\r\n",
    "plt.text(-16, -2.5, '  五  仁  ', bbox=dict(boxstyle='square', fc=\"w\", ec='orange', linewidth=4), fontsize=50, color='orange')\r\n",
    "\r\n",
    "plt.ylim([-35, 35])\r\n",
    "\r\n",
    "plt.xlim([-35, 35])\r\n",
    "\r\n",
    "plt.show()\r\n"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "metadata": {}
  }
 ],
 "metadata": {
  "orig_nbformat": 4,
  "language_info": {
   "name": "python",
   "version": "3.8.8",
   "mimetype": "text/x-python",
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "pygments_lexer": "ipython3",
   "nbconvert_exporter": "python",
   "file_extension": ".py"
  },
  "kernelspec": {
   "name": "python3",
   "display_name": "Python 3.8.8 64-bit ('base': conda)"
  },
  "interpreter": {
   "hash": "73e03da126b73bfff3642ec5261d56fa25c444ea595de51041687efaa60dda41"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}